Triple

T33765816
Position Surface form Disambiguated ID Type / Status
Subject Lochsa River E865225 entity
Predicate hasMajorTributary P415 FINISHED
Object White Sand Creek
White Sand Creek is a significant mountain stream in north-central Idaho that drains forested terrain in the Clearwater National Forest before joining the Lochsa River.
E2286439 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: White Sand Creek | Statement: [Lochsa River, hasMajorTributary, White Sand Creek]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: White Sand Creek
Triple: [Lochsa River, hasMajorTributary, White Sand Creek]
Generated description
White Sand Creek is a significant mountain stream in north-central Idaho that drains forested terrain in the Clearwater National Forest before joining the Lochsa River.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f3498d3b748190aa3c4006c1f32f38 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fc64b99c8190914ba3091e11763d completed May 3, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a46b209b54881909c76c6422006fa5b completed July 2, 2026, 6:46 p.m.
NEDg Description generation batch_6a46b5ffedb0819094cacbf6dcadf43f completed July 2, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_6a46b66942d08190ab2595c47901f2d0 completed July 2, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:45 a.m.